Support vector machines for an efficient representation of voltage band constraints

IEEE PES Innovative Smart Grid Technologies Conference Europe

Volumn , Issue , 2011, Pages

  Blank, M ^a,b   Gerwinn, S ^b   Krause, O ^a,c   Lehnhoff, S ^a,b  

^a TU DORTMUND UNIVERSITY   (Germany)

^b UNIVERSITY OF OLDENBURG   (Germany)

^c UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Collaborative Control; Distributed Power Management; Machine Learning; Multi Agent Systems; Real Time Control; Support Vector Machines

Indexed keywords

AUTONOMOUS GRIDS; AUTONOMOUS SOFTWARE; COLLABORATIVE CONTROL; DEMAND AND SUPPLY; DETECTION AND AVOIDANCES; DISTRIBUTED POWER; GENERATION OF ELECTRICAL ENERGY; GRID OPERATION; INITIAL DESIGN; MULTI AGENT SYSTEM (MAS); OPTIMIZATION PROBLEMS; POWER GRIDS; POWER MANAGEMENT SYSTEMS; SMART GRID; STABILITY CONSTRAINTS; SUB-PROBLEMS;

ENERGY MANAGEMENT; EXHIBITIONS; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; REAL TIME CONTROL; SMART POWER GRIDS; SUPPORT VECTOR MACHINES;

SOFTWARE AGENTS;

EID: 84860752928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISGTEurope.2011.6162635     Document Type: Conference Paper

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